> ## Documentation Index
> Fetch the complete documentation index at: https://docs.lyzr.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# 📺 Youtube Video

# Integrating YouTube Content into Your Search Agent

Expanding your search agent's capabilities to include content from YouTube videos can significantly enhance its ability to provide engaging and multimedia-rich answers. The `add_youtube` function enables the straightforward addition of YouTube videos, allowing your search agent to leverage video descriptions, titles, and potentially transcribed content for a more diverse search experience.

## Function Overview

The `add_youtube` method is specifically designed for integrating YouTube video content into your search agent, offering a range of parameters to customize how this content is processed, indexed, and retrieved.

### Parameters

* **urls** (`List[str]`): A list of URLs for the YouTube videos you want to add. Each URL points to a specific video whose content will be made searchable by your agent.
* **system\_prompt** (`str`): An optional prompt to guide the system in processing YouTube video content. This can direct the focus towards relevant aspects of the video, such as the description or transcribed speech.
* **query\_wrapper\_prompt** (`str`): An optional prompt to enhance the relevance of search queries by providing a context specific to the YouTube content.
* **embed\_model** (`Union[str, EmbedType]`): The embedding model used for processing and embedding the text content extracted from YouTube videos. Defaults to a standard model suitable for general content.
* **llm\_params** (`dict`): Parameters for integrating Large Language Models, enhancing the agent's understanding of video content and improving query processing.
* **vector\_store\_params** (`dict`): Configuration for vector storage, detailing how and where the extracted embeddings from video content are stored.
* **service\_context\_params** (`dict`): Additional parameters to customize the service context for YouTube content integration.
* **query\_engine\_params** (`dict`): Customization parameters for the query engine, affecting how YouTube content is searched and matched with user queries.
* **retriever\_params** (`dict`): Configuration for the document retriever component, determining how YouTube video content is indexed and retrieved.

## Example Usage

### Adding Multiple YouTube Videos

```python theme={null}
search_agent.add_youtube(
    urls=[
        "https://www.youtube.com/watch?v=video1",
        "https://www.youtube.com/watch?v=video2"
    ],
)
```

This example demonstrates how to add specific YouTube videos to your search agent.